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Compare models

Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. Gemini 3.8 FlashGoogleRemove
  2. GPT-6 AstraOpenAIRemove
  3. Hy4 previewTencentRemove
  4. Qwen3 14BAlibabaRemove

4 is the maximum. Remove one to add another.

gemini-3.8-flash vs gpt-6-astra vs hy4-preview vs qwen3-14b
AttributeGemini 3.8 Flashgemini-3.8-flashGPT-6 Astragpt-6-astraHy4 previewhy4-previewQwen3 14Bqwen3-14b
Pricing
Input$0.75 / 1M$10.00 / 1M$0.834 / 1M$0.08 / 1M
Output$3.75 / 1M$50.00 / 1M$2.50 / 1M$0.24 / 1M
Cache Write (5m)$0.75 / 1M$10.00 / 1M$0.834 / 1M$0.08 / 1M
Cache Write (1h)$0.75 / 1M$10.00 / 1M$0.834 / 1M$0.08 / 1M
Cache Read$0.75 / 1M$10.00 / 1M$0.834 / 1M$0.08 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1M41.0K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesNo
JSON ModeYesYesYesNo
StreamingYesYesYesNo
Catalogue
ProviderGoogleOpenAITencentAlibaba
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGemini 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality.GPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.Tencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows.